Nombre de documents

85

Denis Pomorski


Article dans une revue19 documents

  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Multi-Sensor Fusion Approach with Fault Detection and Exclusion based on the Kullback-Leibler Divergence: Application on Collaborative Multi-Robot System. Information Fusion, Elsevier, 2017, 〈10.1016/j.inffus.2017.01.005〉. 〈hal-01444314〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Localisation collaborative d’un système multi-robots avec détection et isolation de défauts capteurs basée sur la divergence de Kullback-Leibler. Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2017. 〈hal-01509964〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant multi-sensor fusion based on the information gain. Journal of Physics: Conference Series, IOP Publishing, 2017, 783 (1), 〈10.1088/1742-6596/783/1/012011〉. 〈hal-01509560〉
  • Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Bachar El Hassan, et al.. Virtual 3D city model as a priori information source for vehicle localization system . Transportation research. Part C, Emerging technologies, Elsevier, 2016, 〈10.1016/j.trc.2015.12.003〉. 〈hal-01375732〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Collaborative Localization for Multi-Robot System with Fault Detection and Exclusion based on the Kullback-Leibler Divergence. Journal of Intelligent and Robotic Systems, Springer Verlag (Germany), 2016, 〈10.1007/s10846-016-0451-z〉. 〈hal-01408272〉
  • Maan El Badaoui El Najjar, Denis Pomorski, Dawood Maya. Virtual 3D city model as a priori information source of vehicle ego-localization system. Transportation research. Part C, Emerging technologies, Elsevier, 2013. 〈hal-00814339〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Virtual 3D city model for navigation in urban areas. Journal of Intelligent and Robotic Systems, Springer Verlag (Germany), 2012, 66 (3), pp.377-399. 〈Springer〉. 〈10.1007/s10846-011-9594-0〉. 〈hal-01509574〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2010, 14(1), pp.3-12. 〈hal-00821916〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Intelligent geo-localisation in urban areas using global positioning systems, 3dimensional geographic information systems, and vision. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2010, 14 (1), pp.3 - 12. 〈http://www.informaworld.com/smpp/ftinterface~content=a919247906~fulltext=713240930~frm=content〉. 〈10.1080/15472450903385999〉. 〈inria-00441814〉
  • Francois Caron, Emmanuel Duflos, Denis Pomorski, Philippe Vanheeghe. GPS/IMU Data Fusion using multisensor Kalman filtering: Introduction of contextual aspects. Information Fusion, Elsevier, 2006, pp.221-230. 〈10.1016/j.inffus.2004.07.002〉. 〈hal-01509438〉
  • Denis Berdjag, Denis Pomorski. GPS/INS data fusion for land navigation. Journal of Donghua University, 2004, 21 (3), pp.88-93. 〈hal-01509584〉
  • Denis Pomorski, Paul-Benoît Perche. Inductive learning of decision trees: Application to fault isolation of an induction motor. Engineering Applications of Artificial Intelligence, Elsevier, 2001, 14, pp.155-166. 〈Elsevier〉. 〈10.1016/S0952-1976(00)00078-6〉. 〈hal-01509601〉
  • Denis Pomorski, Christophe Desrousseaux. Improving performance of distributed detection networks: an entropy-based optimization. Signal Processing, Elsevier, 2001, 81, pp.2479-2491. 〈Elsevier〉. 〈hal-01509597〉
  • Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski. From local trend extraction to symbolization of time-series. Intelligent Data Analysis, IOS Press, 2001, 5 (1), pp.41-57. 〈Elsevier Science〉. 〈hal-01509618〉
  • Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski, Pierre Ravaux. Towards symbolization using data-driven extraction of local trends for ICU monitoring. Artificial Intelligence in Medicine, Elsevier, 2000, 19, pp.203-223. 〈Elsevier Science〉. 〈hal-01509669〉
  • Denis Pomorski, Christophe Desrousseaux. Optimisation entropique des systèmes de détection distribuée parallèle. Traitement du Signal, Lavoisier, 2000, 17 (4), pp.339-351. 〈hal-01509632〉
  • Denis Pomorski, Paul-Benoît Perche. Diagnostic et arbres de décision – Application à la surveillance partielle d’un moteur asynchrone. Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2000, 34 (4), pp.441-477. 〈Hermès Science〉. 〈hal-01509648〉
  • Christophe Desrousseaux, Denis Pomorski. Optimisation entropique des systèmes de détection distribuée. Traitement du Signal, Lavoisier, 1999, 16 (4), pp.275-293. 〈hal-01509680〉
  • Sylvain Porrot, Max Dauchet, Denis Pomorski. The fractal dimension of a computable figure is the average normalized complexity of its points. Bulletin- European Association for Theoretical Computer Science, European Association for Theoretical Computer Science; 1999, 1997, pp.216-221. 〈hal-01509692〉

Communication dans un congrès61 documents

  • Alaa Taleb, Denis Pomorski, Christophe Boyaval, Gilles Dambrine, Kamel Haddadi. Pilotage de nano-manipulateurs – Application à la nanocaractérisation électrique. Congrès National de la Recherche en IUT (CNRIUT’2017), May 2017, Auxerre, France. Congrès National de la Recherche en IUT (CNRIUT’2017). 〈hal-01509792〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant multi-sensor fusion based on the information gain. 13th IFAC European Workshop on Advanced Control and Diagnosis (ACD’2016), Nov 2016, Lille, France. 13th IFAC European Workshop on Advanced Control and Diagnosis (ACD’2016). 〈hal-01509719〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault Tolerant Multi-Sensor Fusion for Multi-Robot Collaborative Localization. The 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2016), Sep 2016, Baden-Baden, Germany. 〈hal-01374188〉
  • Joelle Al Hage, Fatima El Zahraa Wehbi, Denis Pomorski, Maan El Badaoui El Najjar. Contrôle d’une flotte de robots mobiles via l’environnement Matlab/ROS. Congrès National de la Recherche en IUT (CNRIUT’2016), Jun 2016, Nantes, France. Congrès National de la Recherche en IUT (CNRIUT’2016). 〈hal-01509784〉
  • Joelle Al Hage, Maan El Badaoui El Najjar, Denis Pomorski. Fault tolerant collaborative localization for multi-robot system. 2016 24th Mediterranean Conference on Control and Automation (MED), Jun 2016, Athènes, Greece. 〈10.1109/MED.2016.7535869〉. 〈hal-01374186〉
  • Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization. 18 th International conference on information fusion (Fusion), Jul 2015, Washington DC, United States. 〈hal-01374180〉
  • Joelle Al Hage, Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Fault detection and exclusion method for a tightly coupled localization system. 2015 International Conference on Advanced Robotics (ICAR), Jul 2015, Istanbul, Turkey. 〈hal-01374184〉
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Joelle Al Hage, Denis Pomorski. Fast multi fault detection & exclusion approach for GNSS integrity monitoring. Information Fusion (FUSION), 2014 17th International Conference on, Jul 2014, Salamanque, Spain. 〈hal-01374187〉
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Dynamical Reconfiguration Strategy of a Multi Sensor Data Fusion Algorithm Based on Information Theory. IEEE Intelligent Vehicles Symposium, Jun 2013, Gold coast, Australia. 2013. 〈hal-00821938〉
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Cherif Smaili, Denis Pomorski. Fast multi-fault detection and exclusion approach for GNSS integrity monitoring. 16th IEEE International Conference on Advanced Robotics (ICAR’2013), Nov 2013, Montevideo, Uruguay. 16th IEEE International Conference on Advanced Robotics (ICAR’2013). 〈hal-01509699〉
  • Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Harris, SIFT and SURF features comparison for vehicle localization based on virtual 3D model and camera. International Conference on Image Processing Theory, Tools and Applications (IPTA'2012), Oct 2012, Istanbul, Turkey. International Conference on Image Processing Theory, Tools and Applications (IPTA'2012), 〈10.1109/IPTA.2012.6469511〉. 〈hal-01509713〉
  • Youcef Zennir, Denis Pomorski. Distributed control of multi-actor systems: Reinforcement signal by Shannon’s entropy. The 24th European Modelling and Simulation Symposium (Simulation in Industry), EMSS’2012, Sep 2012, Vienna, Austria. The 24th European Modelling and Simulation Symposium (Simulation in Industry), EMSS’2012. 〈hal-01509724〉
  • Nourdine Aït Tmazirte, Maan El Badaoui El Najjar, Denis Pomorski. Multi-sensor data fusion based on information theory. Application to GNSS positionning and integrity monitoring. Fusion 2012, Jul 2012, Singapore, Singapore. 2012. 〈hal-00821950〉
  • Dawood Maya, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Vehicle Geo-Localization Using IMM-UKF Data Fusion based on Virtual 3D City Model As a Priori Information. The 2012 IEEE International Conference on Vehicular Electronics and Safety (ICVES'12), Jul 2012, ISTANBUL, Turkey. 2012. 〈hal-00821974〉
  • Maya Dawood, Cindy Cappelle, Maan El Badaoui El Najjar, Mohamad Khalil, Denis Pomorski. Vehicle geo-localization based on IMM-UKF data fusion using a GPS receiver, a video camera, and a 3D city model. 2011 IEEE Intelligent Vehicles Symposium (IV’2011), Jun 2011, Baden-Baden, Germany. 2011 IEEE Intelligent Vehicles Symposium (IV’2011), 〈10.1109/IVS.2011.5940517〉. 〈hal-01509750〉
  • Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski. Etude de l’apport d’un modèle 3D virtuel pour la géo-localisation et la détection d’obstacles. 15ème colloque national de la recherche dans les IUT (CNRIUT’2009), Jun 2009, Lille, France. 15ème colloque national de la recherche dans les IUT (CNRIUT’2009). 〈hal-01509776〉
  • Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet. Fusion de données GPS, vision, Lidar et SIG3D pour la géo-localisation et la détection d’obstacles. 7èmes Journées Nationales de la Recherche en Robotique (JNRR’2009), Nov 2009, Neuvy-sur-Barangeon, France. 7èmes Journées Nationales de la Recherche en Robotique (JNRR’2009). 〈hal-01509756〉
  • Jing Peng, Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Virtual 3D city model for intelligent vehicle geo-localization. The 9th IEEE International Conference on ITS Telecommunication (ITST’2009), Oct 2009, Lille, France. The 9th IEEE International Conference on ITS Telecommunication (ITST’2009), 〈10.1109/ITST.2009.5399306〉. 〈hal-01509762〉
  • Cindy Cappelle, Jing Peng, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Vehicle geo-localization with virtual 3D city model. Workshop on “Localisation Précise pour les Transports Terrestres”, Jun 2009, Paris, France. Workshop on “Localisation Précise pour les Transports Terrestres”. 〈hal-01509764〉
  • Jing Peng, Maan El Badaoui El Najjar, Cindy Cappelle, Denis Pomorski, François Charpillet, et al.. A novel geo-localisation method using GPS, 3D-GIS and Laser scanner for intelligent vehicle navigation in urban areas. 14th International Conference on Advanced Robotics - ICAR'2009, Jun 2009, Munich, Germany. IEEE, pp.1-6, 2009, Advanced Robotics, 2009. ICAR 2009. International Conference on. 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5174799&isnumber=5174665&tag=1〉. 〈inria-00441772〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multisensor data fusion for geolocalisation in urban areas. Fusion'2008, 2008, Cologne, Germany. 〈hal-00323331〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Geo-localization in urban areas based on virtual 3D city model and vision. IEEE/RSJ 2008 International Conference on Intelligent RObots and Systems, Sep 2008, Nice, France. 〈hal-00323330〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Obstacle detection and localization method based on 3D model: distance validation with Ladar. IEEE International Conference on Robotics and Automation - ICRA'08, May 2008, Pasadena, United States. pp.4031-4036, 2008, 〈10.1109/ROBOT.2008.4543830〉. 〈inria-00332456〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multi-sensor data fusion for geo-localisation in urban areas. European Navigation Conference - Global Navigation Satellite Sytems - ENC-GNSS'08, Apr 2008, Toulouse, France. 2008. 〈inria-00332451〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Détection, suivi et géo-localisation d'obstacles à l'aide d'un modèle 3D géo-référencé, une caméra et un GPS : validation avec un lidar. Conférence Internationale Francophone d'Automatique - CIFA'08, Sep 2008, Bucarest, Roumanie. 2008. 〈inria-00332476〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Multi-sensors data fusion using dynamic bayesian network for robotised vehicle geo-localisation. 11th International Conference on Information Fusion, Jul 2008, Cologne, Germany. IEEE, pp.1-8, 2008. 〈inria-00332441〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database. The 10th International IEEE Conference on Intelligent Transportation Systems - ITSC'07, Oct 2007, Seattle, United States. IEEE, pp.1102-1107, 2007. 〈inria-00172651〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model. 2007 IEEE Intelligent Vehicles Symposium (IV'07), Jun 2007, Istanbul, Turkey. IEEE, 2007, 2007 IEEE Intelligent Vehicles Symposium, June 13-15, 2007, Hilton Hotel, Istanbul, Turkey. 〈inria-00172669〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, Denis Pomorski, François Charpillet. Mise en correspondance d'images réelles avec un modèle 3D géographique pour la localisation terrestre. cinquième édition des ateliers de travail sur le traitement et l'analyse de l'information : Méthodes et Applications - TAIMA'07, May 2007, Hammamet, Tunisie. pp.523-528, 2007. 〈inria-00332482〉
  • Cindy Cappelle, Maan El Badaoui El Najjar, François Charpillet, Denis Pomorski. Obstacles detection and localisation with 3D geographical model and monovision. IEEE Intelligent Transportation Systems Conference - ITSC'07, Sep 2007, Seattle, United States. pp.1102-1107, 2007. 〈inria-00332460〉
  • Cindy Cappelle, Denis Pomorski, Yang Yanqin. GPS/INS Data Fusion for and Vehicle Localization. IMACS Multiconference, Computational Engineering in Systems Applications, CESA'2006, Oct 2006, Beijing, China. 2006. 〈inria-00332472〉
  • Denis Berdjag, Denis Pomorski. Fusion de données GPS/INS pour le positionnement terrestre. TAIMA'2005, Sep 2005, Hammamet, Tunisie. TAIMA'2005. 〈hal-01509803〉
  • Denis Pomorski. Utilisation de l'entropie de Shannon pour l'optimisation de systèmes. TAIMA'2005, Sep 2005, Hammamet, Tunisie. TAIMA'2005. 〈hal-01509807〉
  • Denis Berdjag, Denis Pomorski. DGPS-INS data fusion for land navigation. The 7th IEEE International Conference on Information Fusion (FUSION’2004), Jun 2004, Stockholm, Sweden. The 7th IEEE International Conference on Information Fusion (FUSION’2004). 〈hal-01509811〉
  • Denis Pomorski. Shannon’s Entropy for Network Optimization. International Conference sur la Modélisation Stochastique et Statistique (MSS’2004), Apr 2004, Alger, Algeria. International Conference sur la Modélisation Stochastique et Statistique (MSS’2004). 〈hal-01509813〉
  • Denis Berdjag, Denis Pomorski. DGPS-INS data fusion for land navigation. 2003 Sino-French Workshop on Sensory Evaluation and Intelligent Techniques, Dec 2003, Shanghai, China. 2003 Sino-French Workshop on Sensory Evaluation and Intelligent Techniques. 〈hal-01509819〉
  • Denis Pomorski. Decentralized detection: Optimizing with Bayes’ or entropy-based Criterion?. The 6th IEEE International Conference on Information Fusion (FUSION’2003), Jul 2003, Cairns, Australia. The 6th IEEE International Conference on Information Fusion (FUSION’2003), 〈10.1109/ICIF.2003.177334〉. 〈hal-01509823〉
  • Denis Pomorski. Bottom-Up attribute Selection for the induction of decision Trees. The Multiconference on Computational Engineering in Systems Applications CNRS/IMACS/IEEE-SMC (CESA’2013), Jul 2003, Lille, France. The Multiconference on Computational Engineering in Systems Applications CNRS/IMACS/IEEE-SMC (CESA’2013). 〈hal-01509830〉
  • Denis Pomorski. Optimisation entropique pour les systèmes de détection binaire. 5ème congrès de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF’2003), Feb 2003, Avignon, France. 5ème congrès de la société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF’2003), pp.277-278. 〈hal-01509835〉
  • Denis Pomorski. Entropy-based optimisation for binary detection networks. The 3rd IEEE International Conference on Information Fusion (FUSION’2000), Jul 2000, Paris, France. The 3rd IEEE International Conference on Information Fusion (FUSION’2000), 2, 〈10.1109/IFIC.2000.859895〉. 〈hal-01509844〉
  • Denis Pomorski, Jérôme Penin, Daniel Calvelo Aros. Apprentissage par arbre de décision pour la prévision des pics de pollution. Journées Inter-Réseaux Atmo’2000, Oct 2000, Bordeaux, France. Journées Inter-Réseaux Atmo’2000. 〈hal-01509878〉
  • Denis Pomorski, Paul-Benoît Perche. Inductive learning approach for fault isolation – Application to the induction motor. The IFAC Symposium on Intelligent Components and Instruments for Control Applications (SICICA’2000), Sep 2000, Buenos Aires, Argentina. The IFAC Symposium on Intelligent Components and Instruments for Control Applications (SICICA’2000). 〈hal-01509880〉
  • Daniel Calvelo Aros, M. C. Chambrin, Denis Pomorski. Decision support using machine learning: Towards intensive care unit patient state characterisation. The IFAC/IEEE European Control Conference (ECC’99), Aug 1999, Karlsruhe, Germany. The IFAC/IEEE European Control Conference (ECC’99). 〈hal-01509858〉
  • Daniel Calvelo Aros, M.C. Chambrin, Denis Pomorski, Pierre Ravaux. ICU patient state characterisation using machine learning in a time series framework. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM’99), Jun 1999, Aalborg, Denmark. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making (AIMDM’99), 〈10.1007/3-540-48720-4_38〉. 〈hal-01509864〉
  • Daniel Calvelo Aros, M. C. Chambrin, Christian Vilhelm, Denis Pomorski. Apprentissage de modèles dynamiques pour l’aide à la décision en monitorage médical. Journées Doctorales d’Automatique (JDA’99), Sep 1999, Nancy, France. Journées Doctorales d’Automatique (JDA’99), pp.361-364. 〈hal-01509894〉
  • Abdelatif Rahmoun, Denis Pomorski. Control process fault diagnosis using fuzzy classification in the parity space. 22nd International Conference on Computers & Industrial Engineering (ICC&IE’97), Dec 1997, Cairo, Egypt. 22nd International Conference on Computers & Industrial Engineering (ICC&IE’97). 〈hal-01509899〉
  • Daniel Calvelo Aros, M. C. Chambrin, Denis Pomorski, Pierre Ravaux. Arbres de décision et analyse dynamique de données médicales : Introduction de la notion d’échelle. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), pp.159-166. 〈hal-01509903〉
  • Christophe Desrousseaux, Denis Pomorski. Apprentissage d’un modèle qualitatif dynamique minimal pour la détection décentralisée. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), pp.89-94. 〈hal-01509907〉
  • Paul-Benoît Perche, Denis Pomorski. Méthodes d’induction par arbre de décision utilisant un critère entropique. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), Dec 1997, Angers, France. Congrès Automatique - Génie Informatique – Image – Signal (AGIS’97), pp.81-88. 〈hal-01509909〉
  • Paul-Benoît Perche, Denis Pomorski. Decision tree induction methods using an entropy criterion – I. Global approaches. D.W. Pearson. Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), pp.286-293. 〈hal-01509913〉
  • Paul-Benoît Perche, Denis Pomorski. Decision tree induction methods using an entropy criterion – II. Local approaches. D.W. Pearson. Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), Sep 1997, Nimes, France. Second International ICSC (International Computer Science Conventions), Symposium on “Soft Computing” (SOCO’97), pp.294-299. 〈hal-01509920〉
  • Sylvain Porrot, Denis Pomorski, Max Dauchet. Classification et compression. Cinquièmes Rencontres de la Société Francophone de Classification, Sep 1997, Lyon, France. Cinquièmes Rencontres de la Société Francophone de Classification, pp.229-234. 〈hal-01509925〉
  • Denis Pomorski, Mouloud Sbai, Marcel Staroswiecki. A qualitative approach to the change detection problem with different types of sampling. 1996 IEEE International Conference on Systems, Man, and Cybernetics, Oct 1996, Beijing, China. 1996 IEEE International Conference on Systems, Man, and Cybernetics, 4, pp.2498-2503, 〈10.1109/ICSMC.1996.561308〉. 〈hal-01509930〉
  • Denis Pomorski, Marcel Staroswiecki. Analysis of dynamical systems based on information theory. World Automation Congress (WAC’96), May 1996, Montpellier, France. World Automation Congress (WAC’96), pp.563-570. 〈hal-01509934〉
  • Marie-Paule Carton, Denis Pomorski, Marcel Staroswiecki. Sélection de capteurs pour systèmes de détection décentralisée par un algorithme d’apprentissage basé sur l’entropie. Quinzième Colloque sur le Traitement du Signal et des Images (GRETSI’95), Sep 1995, Juan-les-Pins, France. Quinzième Colloque sur le Traitement du Signal et des Images (GRETSI’95), pp.917-920. 〈hal-01509937〉
  • Paul-Benoît Perche, Denis Pomorski, Marcel Staroswiecki. Decision tree induction methods using an entropy criterion. Second International Conference on Industrial Automation, Jun 1995, Nancy, France. Second International Conference on Industrial Automation. 〈hal-01509942〉
  • Mouloud Sbai, Denis Pomorski, Marcel Staroswiecki. Machine learning applied to the detection of model changes. International Conference on Applications of Signals, Data, Systems Methodologies to Engineering Problems, Dec 1992, Alexandria, Egypt. International Conference on Applications of Signals, Data, Systems Methodologies to Engineering Problems. 〈hal-01509944〉
  • Denis Pomorski, Mouloud Sbai, Marcel Staroswiecki. Automatic learning from incoherent data. Systems Science XI, Sep 1992, Wroclaw, Poland. Systems Science XI. 〈hal-01509947〉
  • Denis Pomorski, Marcel Staroswiecki. Covers and partitions for observation based learning. IMACS-IFAC Symposium on Modelling and Control of Technological Systems, May 1991, Lille, France. IMACS-IFAC Symposium on Modelling and Control of Technological Systems, 2, pp.505-510. 〈hal-01509955〉
  • Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha. Modelling complex systems via the analysis of qualitative data. IMACS-IFAC International Symposium on Mathematical and Intelligent Models in System Simulation (MIM-S2’90), Sep 1990, Brussels, Belgium. IMACS-IFAC International Symposium on Mathematical and Intelligent Models in System Simulation (MIM-S2’90). 〈hal-01509958〉
  • Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha. Learning a qualitative model of a complex system via data analysis. IFIP - International Conference on Artificial Intelligence & Industrial Application, Apr 1990, Leningrad, Russia. IFIP - International Conference on Artificial Intelligence & Industrial Application, pp.55-60. 〈hal-01509961〉

Poster1 document

  • Denis Pomorski, Marcel Staroswiecki. Generalization in automatic learning using aggregation and prolongation. Journées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique”, Sep 1991, Paris, France. Journées Internationales “Analyse de Données et Apprentissage Symbolique-Numérique”. 〈hal-01509951〉

Chapitre d'ouvrage4 documents

  • Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski. Localisation intègre de véhicules avec fusion multi-capteurs tolérante aux défaillances. Nda Matta, Yves Vanderboomgaerde, Jean Arlat. Supervision, surveillance et sûreté de fonctionnement des grands systèmes, Hermes, Lavoisier, pp.55-94, 2012, Traité IC2 Série Systèmes automatisés, 2746238403. 〈hal-00769562〉
  • Maan El Badaoui El Najjar, Cherif Smaili, François Charpillet, Denis Pomorski, Mireille Bayart. Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization. Nada Matta and Yves Vandenboomgaerde and Jean Arlat. Supervision and Safety of Complex Systems, Wiley-ISTE, 2012, 978-1-84821-413-2. 〈hal-00769570〉
  • Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha. Learning a qualitative model of a complex system via data analysis. J.L. Alty and L.I. Mikulich. Industrial Applications of Artificial Intelligence, Elsevier, pp.285-291, 1991. 〈hal-01509540〉
  • Denis Pomorski, Marcel Staroswiecki, Mohamed Barboucha. Modelling complex systems via the analysis of qualitative data. R. Hanus, P. Kool and S. Tzafestas. Mathematical and Intelligent Models in System Simulation, J.C. Baltzer AG, Sc. Pub. Co., pp.253-257, 1991. 〈hal-01509545〉